Abstract The Data Stream Processing Strategy (DSPS) is focused on the automatization of
measurement projects based on a measurement framework. The measurement adapter …

In today's predictive analytics world, data engineering play a vital role, data acquisition is
carried out from various source systems and process as per the business applications and …

The IoT allows a new kind of monitoring strategy based on the heterogeneity of the devices
and its lower cost. It implies a challenge in terms of the data interoperability and the …

The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream
engine, specialized in Measurement and Evaluation (M&E) projects. In order to foster the …

The Processing Architecture based on Measurement Metadata (PAbMM) is a data stream
management system specialized in measurement and evaluation (M&E) projects, which …

The CINCAMI/Measurement Interchange Schema (MIS) organizes jointly data and metadata
generated from the heterogeneous meas-urement devices under the same data stream. The …

Data are continuously arriving the current markets, and the data stream engines are an
alternative for this kind of applications. PAbMM is a real-time processing architecture …

This chapter explains the relative importance of the measurement in relation to system
reliability. Measurements are essential for knowing the quantitative value related to an entity …

Abstract The Data Stream Processing Strategy (DSPS) focus on online data processing
based on IoT environments. Because of the IoT devices are possibly heterogeneous …

In terms of the data-driven decision making the real-time monitoring becomes day by day in
a key asset. The financial markets, natural disasters, telecommunications among other are …